Abstract
Purpose: To determine whether default risk is priced in the presence of fat tails.
Originality: Modelling asset returns using a Multivariate t distribution.
Key literature / theoretical perspective: Default Likelihood Indicator developed by Vassalou and Xing (2004) and multivariate t research by Kan and Zhou (2006).
Design/methodology/approach: Empirical study of monthly US stock returns (1978 – 2007) using portfolios and control variables.
Findings: Modelling returns, of distressed stocks, using a multivariate t in place of multivariate normal can have a substantial impact on the associated economic inferences.
Practical and Social implications: Asset pricing and portfolio decision-making.
| Original language | English |
|---|---|
| Pages (from-to) | 66-67 |
| Number of pages | 2 |
| Journal | Expo 2010 Higher Degree Research : book of abstracts |
| Publication status | Published - 2010 |
| Event | Higher Degree Research Expo (6th : 2010) - Sydney Duration: 19 Nov 2010 → 19 Nov 2010 |
Keywords
- distress
- default
- bankruptcy
- non-normal
- multivariate-t